fix complex show tests

Author: dkarrasch

test/composition.jl

@@ -21,7 +21,7 @@ using Test, LinearMaps, LinearAlgebra
     F2 = F*F
     FC2 = FC*FC
     F4 = FC2 * F2
-    @test occursin("10×10 LinearMaps.CompositeMap{Complex{Float64}}", sprint((t, s) -> show(t, "text/plain", s), F4))
+    @test occursin("10×10 LinearMaps.CompositeMap{$(eltype(F4))}", sprint((t, s) -> show(t, "text/plain", s), F4))
     @test length(F4.maps) == 4
     @test @inferred F4 * v == @inferred F * (F * (F * (F * v)))
     @test @inferred Matrix(M * transpose(M)) ≈ A * transpose(A)

test/functionmap.jl

@@ -17,7 +17,7 @@ using Test, LinearMaps, LinearAlgebra, BenchmarkTools
     MyFT = @inferred LinearMap{ComplexF64}(myft, N) / sqrt(N)
     U = Matrix(MyFT) # will be a unitary matrix
     @test @inferred U'U ≈ Matrix{eltype(U)}(I, N, N)
-    @test occursin("$N×$N LinearMaps.FunctionMap{Complex{Float64}}", sprint((t, s) -> show(t, "text/plain", s), MyFT))
+    @test occursin("$N×$N LinearMaps.FunctionMap{$(eltype(MyFT))}", sprint((t, s) -> show(t, "text/plain", s), MyFT))
 
     CS = @inferred LinearMap(cumsum, 2)
     @test size(CS) == (2, 2)

test/kronecker.jl

@@ -8,7 +8,7 @@ using Test, LinearMaps, LinearAlgebra, SparseArrays
         LA = LinearMap(A)
         LB = LinearMap(B)
         LK = @inferred kron(LA, LB)
-        @test occursin("6×6 LinearMaps.KroneckerMap{Complex{Float64}}", sprint((t, s) -> show(t, "text/plain", s), LK))
+        @test occursin("6×6 LinearMaps.KroneckerMap{$(eltype(LK))}", sprint((t, s) -> show(t, "text/plain", s), LK))
         @test @inferred size(LK) == size(K)
         @test LinearMaps.MulStyle(LK) === LinearMaps.ThreeArg()
         for i in (1, 2)

test/linearcombination.jl

@@ -10,7 +10,7 @@ using Test, LinearMaps, LinearAlgebra, BenchmarkTools
     @test run(b, samples=3).allocs == 0
     n = 10
     L = sum(fill(CS!, n))
-    @test occursin("10×10 LinearMaps.LinearCombination{Complex{Float64}}", sprint((t, s) -> show(t, "text/plain", s), L))
+    @test occursin("10×10 LinearMaps.LinearCombination{$(eltype(L))}", sprint((t, s) -> show(t, "text/plain", s), L))
     @test mul!(u, L, v) ≈ n * cumsum(v)
     b = @benchmarkable mul!($u, $L, $v, 2, 2)
     @test run(b, samples=5).allocs <= 1

test/transpose.jl

@@ -8,8 +8,8 @@ using Test, LinearMaps, LinearAlgebra, SparseArrays
         @test transform(transform(CS)) == CS
         @test LinearMaps.MulStyle(transform(CS)) === LinearMaps.MulStyle(CS)
     end
-    @test occursin("10×10 LinearMaps.TransposeMap{Complex{Float64}}", sprint((t, s) -> show(t, "text/plain", s), transpose(CS)))
-    @test occursin("10×10 LinearMaps.AdjointMap{Complex{Float64}}", sprint((t, s) -> show(t, "text/plain", s), adjoint(CS)))
+    @test occursin("10×10 LinearMaps.TransposeMap{$(eltype(CS))}", sprint((t, s) -> show(t, "text/plain", s), transpose(CS)))
+    @test occursin("10×10 LinearMaps.AdjointMap{$(eltype(CS))}", sprint((t, s) -> show(t, "text/plain", s), adjoint(CS)))
     @test !(transpose(CS) == adjoint(CS))
     @test !(adjoint(CS) == transpose(CS))
     M = Matrix(CS)